Sequential Monte Carlo Squared for online inference in stochastic epidemic models

Effective epidemic modeling and surveillance require computationally efficient methods that can continuously update parameter estimates as new data becomes available. This paper explores the application of an online variant of Sequential Monte Carlo Squared (O-SMC2) to the stochastic Susceptible–Exp...

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Bibliographic Details
Main Authors: Dhorasso Temfack, Jason Wyse
Format: Article
Language:English
Published: Elsevier 2025-09-01
Series:Epidemics
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S1755436525000350
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